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Learning of movements in robotic manipulators

Giuseppe Casalino, Luca Maria Gambardella

Year
1986
Citations
19

Abstract

The paper presents the basic ideas underlying a learning methodology for the control of movements of robotic manipulators. It is based on the use of repeated trials of tracking of a preassigned trajectory. Sufficient conditions for the convergence of the algorithm are presented.

Keywords

Convergence (economics)Robot manipulatorTrajectoryComputer scienceIterative learning controlTracking (education)Control theory (sociology)Artificial intelligenceControl engineeringControl (management)

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